Comparison
Qdrant vs Weaviate
Overview
Qdrant is an open-source vector database and similarity-search engine written in Rust. It stores embeddings with rich payload filtering and is used for retrieval-augmented generation (RAG), semantic search and recommendation systems, with a managed cloud option.
Weaviate is an open-source, AI-native vector database with built-in vectorization modules and hybrid search. It combines vector and keyword search, integrates with popular embedding and generative models, and offers a managed cloud service.
Features
- —Rust-based ANN search
- —Advanced payload filtering
- —Distributed and horizontally scalable
- —Quantization for memory efficiency
- —REST and gRPC APIs
- —Managed Qdrant Cloud with free tier
- —Built-in vectorizer modules
- —Hybrid (vector + keyword) search
- —GraphQL and REST APIs
- —Generative search integrations
- —Multi-tenancy
- —Managed Weaviate Cloud
Pricing
Qdrant
freemiumFree plan available
| Plan | Price | Notes |
|---|---|---|
| Open Source | Free | Self-hosted. |
| Cloud Free | Free | 1GB free managed cluster. |
| Cloud | Contact sales | Usage-based managed pricing. |
Weaviate
freemiumFree plan availableOpen-source to self-host for free; Weaviate Cloud offers a free sandbox plus usage-based serverless and enterprise tiers.
| Plan | Price | Notes |
|---|---|---|
| Open Source | Free | Self-hosted. |
| Serverless Cloud | Contact sales | Pay per dimension stored. |
Company Fit
Qdrant
StartupSMBEnterprise
Weaviate
StartupSMBEnterprise